Naila Habib Khan

Institute of Management Sciences Peshawar

Papers

Total Citations

H-Index

About

Naila Habib Khan is a researcher whose work centers on computer vision and autonomous systems, with a particular focus on ego-motion estimation—the ability of a moving platform, such as a robot or vehicle, to understand its own movement relative to its environment. Her most-cited paper, "Ego-motion estimation concepts, algorithms and challenges: an overview" (2016), with 13 citations, provides a comprehensive synthesis of the field, bridging foundational concepts with emerging algorithmic approaches and practical challenges. This overview has served as a valuable resource for researchers and students entering the domain, offering clarity on topics like visual odometry, sensor fusion, and real-time processing constraints. Khan’s contribution lies in distilling complex technical landscapes into accessible frameworks, enabling others to build upon established knowledge. While her citation count reflects a focused impact, her work underscores the critical role of survey papers in advancing fields where rapid innovation can overwhelm newcomers. For students and researchers exploring autonomous navigation, Khan’s overview remains a key starting point for understanding how machines perceive and navigate their world.